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Image of Land surface hydrology, meteorology, and climate: observations and modeling
Penanda Bagikan

Electronic Resource

Land surface hydrology, meteorology, and climate: observations and modeling

Lakshmi, Venkataraman - Nama Orang; Albertson, John - Nama Orang; Schaake, John - Nama Orang;

Land surface hydrology integrates various physical, chemical and biological processes that occur above, on, and below the surface of the Earth. As a result, it is critical to accurately account for land surface processes within predictive models of hydrology, meteorology, and climate.

One of our main difficulties, however, concerns the broad range of spatial and temporal scales that characterize land surface hydrological processes. For example, we determine infiltration by pore scale physics, while soil hydraulic conductivity remains a field scale property. Photosynthesis, respiration, and transpiration occur at the leaf scale. Runoff is a catchment scale process, and the variability of groundwater storage is a regional scale issue. Turbulence in land-atmosphere exchanges of heat, moisture, and momentum occur on the order of seconds to minutes, while variations in land surface and air temperatures occur much more gradually: on the order of hours. The persistence of floods and droughts is seasonal to annual, and so is the effect of El Nino on regional hydrology. Long-term climate effects occur much more slowly, on the order of years to decades.


Ketersediaan
#
Perpustakaan Pusat E31
E31
Tersedia
Informasi Detail
Judul Seri
Water Science and Application 3
No. Panggil
E31
Penerbit
Washington, D.C. : American Geophysical Union., 2013
Deskripsi Fisik
246 hlm. : il.
Bahasa
English
ISBN/ISSN
9781118665589
Klasifikasi
NONE
Tipe Isi
text
Tipe Media
computer
Tipe Pembawa
online resource
Edisi
-
Subjek
Meteorologi
Iklim
Air
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Editor, Venkataraman Lakshmi, John Albertson, John Schaake
Versi lain/terkait

Tidak tersedia versi lain

Lampiran Berkas
  • Land Surface Hydrology, Meteorology, and Climate: Observations and Modeling
    DOI:10.1029/WS003
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